Recommending Message Wording Based on Analysis of Prior Group Usage

1. A system comprising: at least one processor and a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the at least one processor to cause the at least one processor to perform operations comprising: monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics; aggregating the individual usage statistics; determining group usage statistics from the aggregated individual usage statistics; detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment; accessing a plurality of destination repositories; determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories; identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users; determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and providing one or more recommendations to the first user with regard to the at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

2. The system of claim 1 , wherein the community characteristics are further based at least in part on a destination.

3. The system of claim 1 , wherein the individual usage statistics comprises statistics associated with one or more of punctuation, lexicon, grammar, spelling, religion, swearing, and slang.

4. The system of claim 1 , wherein the community characteristics are further based at least in part on a collaboration type.

5. The system of claim 1 , wherein at least one of the recommendation policies is to flag inappropriate wording detected in the at least one new message.

6. The system of claim 1 , wherein at least one of the recommendation policies is to suggest appropriate wording in the at least one new message.

7. The system of claim 1 , wherein at least one of the recommendation policies is to suggest appropriate wording based on the community characteristics.

8. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by at least one processor to cause the at least one processor to perform operations comprising: monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics; aggregating the individual usage statistics; determining group usage statistics from the aggregated individual usage statistics; detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment; accessing a plurality of destination repositories; determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories; identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users; determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and providing one or more recommendations to the first user with regard to the at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

9. The computer program product of claim 8 , wherein the community characteristics are further based at least in part on one a destination.

10. The computer program product of claim 8 , wherein the individual usage statistics comprises statistics associated with one or more of punctuation, lexicon, grammar, spelling, religion, swearing, and slang.

11. The computer program product of claim 8 , wherein the community characteristics are further based at least in part on a collaboration type.

12. The computer program product of claim 8 , wherein at least one of the recommendation policies is to flag inappropriate wording detected in the at least one new message.

13. The computer program product of claim 8 , wherein at least one of the recommendation policies is to suggest appropriate wording in the at least one new message.

14. The computer program product of claim 8 , wherein at least one of the recommendation policies is to suggest appropriate wording based on the community characteristics.

15. A computer-implemented method for recommending message wording in a collaboration environment, the method comprising: monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics; aggregating the individual usage statistics; determining group usage statistics from the aggregated individual usage statistics; detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment; accessing a plurality of destination repositories; determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories; identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users; determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and providing one or more recommendations to the first user with regard to the at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

16. The method of claim 15 , wherein the community characteristics are further based at least in part on a destination.

17. The method of claim 15 , wherein the individual usage statistics comprises statistics associated with one or more of punctuation, lexicon, grammar, spelling, religion, swearing, and slang.

18. The method of claim 15 , wherein the community characteristics are further based at least in part on a collaboration type.

19. The method of claim 15 , wherein at least one of the recommendation policies is to flag inappropriate wording detected in the at least one new message.

20. The method of claim 15 , wherein at least one of the recommendation policies is to suggest appropriate wording in the at least one new message.